March 13, 2024, 4:42 a.m. | Joseph Bowles, Shahnawaz Ahmed, Maria Schuld

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.07059v1 Announce Type: cross
Abstract: Benchmarking models via classical simulations is one of the main ways to judge ideas in quantum machine learning before noise-free hardware is available. However, the huge impact of the experimental design on the results, the small scales within reach today, as well as narratives influenced by the commercialisation of quantum technologies make it difficult to gain robust insights. To facilitate better decision-making we develop an open-source package based on the PennyLane software framework and use …

abstract art arxiv benchmarking cs.lg design experimental free hardware however ideas impact judge machine machine learning machine learning models noise quant-ph quantum results simulations small type via

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